This Zenodo deposit contains a publicly available description of the Dataset: Title: "iSCORE-PD: Whole-genome sequencing and variant calling of isogenic hESC clones and controls". Description: Whole-genome sequencing (WGS) data for the iSCORE-PD isogenic hESC clone collection. 150bp paired-end WGS was performed on Illu...
Oriol Busquets, Hanqin Li, Khaja Mohieddin Syed et al.· Zenodo (CERN European Organi...· 0 citations
Data, code and results supporting a systematic map and multi-product synthesis of open data on the Saint Peter and Saint Paul Archipelago (SPSPA; 0°55' N, 29°21' W), the only emerged land of the equatorial Mid-Atlantic Ridge, compared with 13 remote Atlantic islands (Fernando de Noronha, Rocas Atoll, Trindade–Martin Va...
Cesar R. L. Amaral, Allan Faria, oão Gabriel Silva et al.· Zenodo (CERN European Organi...· 0 citations
THE OPEN NEURAL OBSERVATORY III:NEURAL QUESTION ECOLOGIES, UNKNOWN CARTOGRAPHY & SUCCESSOR DISCOVERY AT THE LIMIT Pre-Questions, Research Phylogenies, Method Seed Banks, Human-AI Inquiry,Rights-Preserving Discovery, Open Neural Futures, and Scientific Handoff Feng Cheng-en (33) x Starli When can a longitudinal neural o...
This Zenodo deposit contains a publicly available description of the Dataset: Title: "iSCORE-PD: Whole-genome sequencing and variant calling of isogenic hESC clones and controls". Description: Whole-genome sequencing (WGS) data for the iSCORE-PD isogenic hESC clone collection. 150bp paired-end WGS was performed on Illu...
Oriol Busquets, Hanqin Li, Khaja Mohieddin Syed et al.· Zenodo (CERN European Organi...· 0 citations
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This Zenodo deposit contains a publicly available description of the Dataset: Title: "iSCORE-PD: NGS genotyping and zygosity testing of isogenic hESC clones". Description: Targeted DNA sequencing data for the iSCORE-PD isogenic hESC clone collection, encompassing three complementary analyses: (1) NGS genotyping of 53 m...
Oriol Busquets, Hanqin Li, Khaja Mohieddin Syed et al.· Zenodo (CERN European Organi...· 0 citations
This Zenodo deposit contains a publicly available description of the Dataset: Title: "iSCORE-PD: NGS genotyping and zygosity testing of isogenic hESC clones". Description: Targeted DNA sequencing data for the iSCORE-PD isogenic hESC clone collection, encompassing three complementary analyses: (1) NGS genotyping of 53 m...
Oriol Busquets, Hanqin Li, Khaja Mohieddin Syed et al.· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) is transitioning from a supportive tool to a core component of clinical decision-making in dentistry. This review synthesizes advances in deep learning and machine learning for oral disease diagnosis, orthodontic treatment prediction, pediatric oral health management, adolescent psychologic...
Yuan-Qi Zhang, Tao Wen, Zheng-Rou Wang et al.· International Journal of Art...· 0 citations
FluxLite is introduced, a lightweight, training-free proposal-control framework for discrete diffusion, identifying a tilted-path coverage factor that governs robustness to score error, together with finite-particle convergence for a fixed controlled Feynman-Kac recursion.
Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff et al.· 1 citation
Recommendations are made for regulatory-science partnerships, human-centred design, interoperable digital pipelines, and investment in field-based validation and manufacturing to translate photonics innovations into resilient, equitable POC solutions across South Africa and the wider sub-Saharan context.
P. Mthunzi-Kufa, M. M. Mathipa, Tendai Makwikwi et al.· Journal of Biomedical Optics· 0 citations
An algorithm is introduced that uses the base model's next-token entropy as a proxy to identify key decision points and resample from those positions and it is proved that the method's mixing time scales with the number of decisions in a trace rather than with the number of tokens, which can be much larger.
Felix Zhou, Anay Mehrotra, Quanquan C. Liu· arXiv.org· 3 citations
We propose a novel amortized optimization method for predicting optimal transport (OT) plans across multiple pairs of measures by leveraging Kantorovich potentials derived from sliced OT. We introduce two amortization strategies: regression-based amortization (RA-OT) and objective-based amortization (OA-OT). In RA-OT,...
Diffusion models generate samples by iteratively querying learned score estimates. A rapidly growing literature focuses on accelerating sampling by minimizing the number of score evaluations, yet the information-theoretic limits of such acceleration remain unclear.
In this work, we establish the first score query low...
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
